A candlestick chart displays open, high, low, and close (OHLC) price data for financial instruments over time. Each candlestick shows the price range within a specific period, with the body indicating the open-close range and the wicks (shadows) showing the high-low range. Color coding distinguishes bullish (price increase) from bearish (price decrease) periods, making it easy to identify trends and price patterns at a glance.
""" anyplot.ai
candlestick-basic: Basic Candlestick Chart
Library: bokeh 3.9.0 | Python 3.13.13
Quality: 92/100 | Updated: 2026-05-30
"""
import os
import sys
import time
from pathlib import Path
# Remove this file's directory from sys.path so `import bokeh` resolves
# the installed package rather than this file (bokeh.py).
_here = os.path.dirname(os.path.abspath(__file__))
sys.path = [p for p in sys.path if os.path.abspath(p) != _here]
import numpy as np
import pandas as pd
from bokeh.io import output_file, save
from bokeh.models import ColumnDataSource, HoverTool, Label, NumeralTickFormatter, Range1d, Span
from bokeh.plotting import figure
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
# Theme tokens — Imprint palette, theme-adaptive chrome
THEME = os.getenv("ANYPLOT_THEME", "light")
PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420"
INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
# Imprint palette — semantic exception for finance: up=green, down=red
COLOR_BULL = "#009E73" # Imprint position 1 — bullish (gain/up)
COLOR_BEAR = "#AE3030" # Imprint position 5 — bearish (loss/down)
# Data — 30 trading days of OHLC data for ACME Corp
np.random.seed(42)
n_days = 30
start_price = 150.0
dates = pd.date_range(start="2024-01-02", periods=n_days, freq="B")
returns = np.random.randn(n_days) * 0.018
returns[:10] -= 0.002
returns[10:20] -= 0.005
returns[20:] += 0.008
prices = start_price * np.cumprod(1 + returns)
open_prices = []
high_prices = []
low_prices = []
close_prices = []
for i, close in enumerate(prices):
if i == 0:
open_price = start_price
else:
open_price = close_prices[-1]
daily_range = abs(np.random.randn()) * 0.012 * close
high = max(open_price, close) + daily_range
low = min(open_price, close) - daily_range
open_prices.append(open_price)
high_prices.append(high)
low_prices.append(low)
close_prices.append(close)
df = pd.DataFrame({"date": dates, "open": open_prices, "high": high_prices, "low": low_prices, "close": close_prices})
df["bullish"] = df["close"] >= df["open"]
df["date_str"] = df["date"].dt.strftime("%b %d, %Y")
bullish_df = df[df["bullish"]].copy()
bearish_df = df[~df["bullish"]].copy()
source_bullish = ColumnDataSource(bullish_df)
source_bearish = ColumnDataSource(bearish_df)
# Figure — 3200×1800 landscape; reserved borders for 42pt axis labels
title = "ACME Corp Stock · candlestick-basic · python · bokeh · anyplot.ai"
p = figure(
width=3200,
height=1800,
x_axis_type="datetime",
title=title,
x_axis_label="Date",
y_axis_label="Price (USD)",
tools="",
toolbar_location=None,
min_border_bottom=160,
min_border_left=180,
min_border_top=110,
min_border_right=50,
)
# Tighten x-range
x_pad = pd.Timedelta(days=1)
p.x_range = Range1d(start=dates[0] - x_pad, end=dates[-1] + x_pad)
# Candle width — 75% of one business day in milliseconds
candle_width = 0.75 * 24 * 60 * 60 * 1000
# Wicks — colored to match candle bodies, visibly thinner than bodies
p.segment(x0="date", y0="high", x1="date", y1="low", source=source_bullish, color=COLOR_BULL, line_width=3)
p.segment(x0="date", y0="high", x1="date", y1="low", source=source_bearish, color=COLOR_BEAR, line_width=3)
# Candle bodies
bull_bars = p.vbar(
x="date",
top="close",
bottom="open",
width=candle_width,
source=source_bullish,
fill_color=COLOR_BULL,
line_color=COLOR_BULL,
line_width=1,
legend_label="Bullish",
)
bear_bars = p.vbar(
x="date",
top="open",
bottom="close",
width=candle_width,
source=source_bearish,
fill_color=PAGE_BG, # hollow body — CVD-safe: solid=bullish, hollow=bearish
line_color=COLOR_BEAR,
line_width=2,
legend_label="Bearish",
)
# Hover tooltips — Bokeh interactive feature
hover = HoverTool(
renderers=[bull_bars, bear_bars],
tooltips=[
("Date", "@date_str"),
("Open", "@open{$0.00}"),
("High", "@high{$0.00}"),
("Low", "@low{$0.00}"),
("Close", "@close{$0.00}"),
],
mode="vline",
)
p.add_tools(hover)
# Reversal annotation — mark the Jan 22 trend-change pivot for active storytelling
reversal_ts = int(pd.Timestamp("2024-01-22").timestamp() * 1000)
p.add_layout(
Span(
location=reversal_ts, dimension="height", line_color=INK_SOFT, line_dash="dashed", line_width=2, line_alpha=0.6
)
)
p.add_layout(
Label(
x=reversal_ts,
y=df["high"].max() * 0.99,
x_units="data",
y_units="data",
text=" Trend Reversal",
text_color=INK_SOFT,
text_font_size="28pt",
text_baseline="top",
text_align="left",
)
)
# Typography — 3200×1800 sizing (title 65 chars → full 50pt)
p.title.text_font_size = "50pt"
p.title.text_font_style = "normal"
p.title.text_color = INK
p.xaxis.axis_label_text_font_size = "42pt"
p.yaxis.axis_label_text_font_size = "42pt"
p.xaxis.axis_label_text_color = INK
p.yaxis.axis_label_text_color = INK
p.xaxis.major_label_text_font_size = "34pt"
p.yaxis.major_label_text_font_size = "34pt"
p.xaxis.major_label_text_color = INK_SOFT
p.yaxis.major_label_text_color = INK_SOFT
# Y-axis dollar formatting
p.yaxis.formatter = NumeralTickFormatter(format="$0")
# Grid — y-axis only, subtle
p.xgrid.grid_line_color = None
p.ygrid.grid_line_color = INK
p.ygrid.grid_line_alpha = 0.15
p.ygrid.grid_line_width = 1
# Axis chrome — theme-adaptive, minimalist
p.outline_line_color = None
p.xaxis.axis_line_color = INK_SOFT
p.yaxis.axis_line_color = INK_SOFT
p.xaxis.major_tick_line_color = None
p.yaxis.major_tick_line_color = None
p.xaxis.minor_tick_line_color = None
p.yaxis.minor_tick_line_color = None
# Background — Imprint warm surface
p.background_fill_color = PAGE_BG
p.border_fill_color = PAGE_BG
# Legend — bull/bear guide for viewers unfamiliar with candlestick conventions
p.legend.location = "top_left"
p.legend.label_text_font_size = "28pt"
p.legend.label_text_color = INK_SOFT
p.legend.background_fill_color = ELEVATED_BG
p.legend.border_line_color = INK_SOFT
p.legend.margin = 20
p.legend.padding = 16
p.legend.spacing = 10
# Save HTML (interactive with hover tooltips)
output_file(f"plot-{THEME}.html")
save(p)
# Screenshot with headless Chrome — Selenium 4 / Selenium Manager
W, H = 3200, 1800
opts = Options()
for arg in (
"--headless=new",
"--no-sandbox",
"--disable-dev-shm-usage",
"--disable-gpu",
f"--window-size={W},{H}",
"--hide-scrollbars",
):
opts.add_argument(arg)
driver = webdriver.Chrome(options=opts)
driver.execute_cdp_cmd(
"Emulation.setDeviceMetricsOverride", {"width": W, "height": H, "deviceScaleFactor": 1, "mobile": False}
)
driver.get(f"file://{Path(f'plot-{THEME}.html').resolve()}")
time.sleep(3)
driver.save_screenshot(f"plot-{THEME}.png")
driver.quit()
Part of Basic Candlestick Chart on anyplot.ai.